title: Prey-dependent mortality rate: a critical parameter in microbial models.
abstract: Protozoa are key components of a wide range of ecosystems, but ecological models that incorporate these microbes often suffer from poor parameterisation, specifically of top-level predator loss rates. We (1) suggest that top-level predator mortality is prey-dependent, (2) provide a novel approach to assess this response, and (3) illustrate the ecological relevance of these findings. Ciliates, Paramecium caudatum (prey) and Didinium nasutum (predator), were used to evaluate predator mortality at varying prey levels. To assess mortality, multiple (>100) predators were individually examined (in 2-ml wells), daily (for 3 days), between 0 and 120 preys ml(-1). Data were used to determine non-linear mortality and growth responses over a range of prey abundances. The responses, plus literature data were then used to parameterise a predator-prey model, based on the Rosenzweig-MacArthur structure. The model assessed the impact of variable and three levels of constant (high, average and low) mortality rates on P. caudatum-D. nasutum population dynamics. Our method to determine variable mortality rate revealed a strong concave decline in mortality with increasing prey abundance. The model indicated: (1) high- and low-constant mortality rates yielded dynamics that deviate substantially from those obtained from a variable rate; (2) average mortality rate superficially produced dynamics similar to the variable rate, but there were differences in the period of predator-prey cycles, and the lowest abundance of prey and predators (by ~2 orders of magnitude). The differences between incorporating variable and constant mortality rate indicate that including a variable rate could substantially improve microbial-based ecological models.
authors.affiliation: Institute of Integrative Biology, Biosciences Building, University of Liverpool, Liverpool, L69 7ZB, UK.
authors.forename: Ewan J A
authors.initials: EJ
authors.lastname: Minter
authors.forename: Andy
authors.initials: A
authors.lastname: Fenton
authors.forename: Jennifer
authors.initials: J
authors.lastname: Cooper
authors.forename: David J S
authors.initials: DJ
authors.lastname: Montagnes
mesh_terms: D016798:Ciliophora / Q000502:physiology*; D017753:Ecosystem; D008954:Models, Biological; D011157:Population Dynamics